Yue Wan

9.8k total citations · 2 hit papers
45 papers, 5.3k citations indexed

About

Yue Wan is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Yue Wan has authored 45 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Infectious Diseases. Recurrent topics in Yue Wan's work include RNA modifications and cancer (22 papers), RNA and protein synthesis mechanisms (22 papers) and RNA Research and Splicing (19 papers). Yue Wan is often cited by papers focused on RNA modifications and cancer (22 papers), RNA and protein synthesis mechanisms (22 papers) and RNA Research and Splicing (19 papers). Yue Wan collaborates with scholars based in Singapore, United States and United Kingdom. Yue Wan's co-authors include Howard Y. Chang, Eran Segal, Ohad Manor, Fei Lan, Jordon K. Wang, Nima Mosammaparast, Yang Shi, Miao-Chih Tsai, Michael A. Kertesz and Robert C. Spitale and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yue Wan

43 papers receiving 5.3k citations

Hit Papers

Long Noncoding RNA as Modular Scaffold of Histone Modific... 2010 2026 2015 2020 2010 2010 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yue Wan Singapore 18 4.9k 2.9k 225 194 182 45 5.3k
Therese A. Yario United States 18 2.8k 0.6× 1.8k 0.6× 85 0.4× 172 0.9× 207 1.1× 20 3.3k
Wenqian Hu United States 18 1.6k 0.3× 1.0k 0.4× 70 0.3× 87 0.4× 156 0.9× 49 2.0k
Thomas Royce United States 19 1.8k 0.4× 718 0.2× 328 1.5× 245 1.3× 78 0.4× 33 2.4k
Robinson Triboulet United States 17 3.5k 0.7× 1.8k 0.6× 155 0.7× 102 0.5× 182 1.0× 22 4.2k
Alexandre Akoulitchev United Kingdom 16 1.3k 0.3× 552 0.2× 87 0.4× 67 0.3× 146 0.8× 35 1.6k
Klemens J. Hertel United States 34 4.1k 0.8× 360 0.1× 244 1.1× 211 1.1× 103 0.6× 71 4.5k
Lixin Dai United States 17 1.8k 0.4× 616 0.2× 187 0.8× 464 2.4× 55 0.3× 20 2.1k
Katherine E. Sloan Germany 27 2.8k 0.6× 781 0.3× 114 0.5× 75 0.4× 185 1.0× 35 3.0k
Aleksandra Helwak United Kingdom 11 1.8k 0.4× 1.0k 0.3× 121 0.5× 97 0.5× 67 0.4× 15 2.0k
Walter N. Moss United States 27 1.8k 0.4× 538 0.2× 60 0.3× 118 0.6× 380 2.1× 74 2.2k

Countries citing papers authored by Yue Wan

Since Specialization
Citations

This map shows the geographic impact of Yue Wan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yue Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Wan more than expected).

Fields of papers citing papers by Yue Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue Wan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yue Wan. The network helps show where Yue Wan may publish in the future.

Co-authorship network of co-authors of Yue Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Wan. A scholar is included among the top collaborators of Yue Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yue Wan. Yue Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Siwy Ling, Sainan Wang, Jian Han, et al.. (2025). A conserved long-range RNA interaction in SARS-CoV-2 recruits ADAR1 to enhance virus proliferation. Nature Communications. 16(1). 8460–8460. 1 indexed citations
2.
Zhang, Li, et al.. (2025). Role of PEGylated lipid in lipid nanoparticle formulation for in vitro and in vivo delivery of mRNA vaccines. Journal of Controlled Release. 380. 108–124. 16 indexed citations
3.
Chang, Zi Wei, Ki Hyun Bae, Kuo‐Chieh Liao, et al.. (2024). Design and Characterization of a New Formulation for the Delivery of COVID-19-mRNA Vaccine to the Nasal Mucosa. Vaccines. 12(4). 409–409. 10 indexed citations
4.
Wang, Jiaxu, et al.. (2024). RNA structure profiling at single-cell resolution reveals new determinants of cell identity. Nature Methods. 21(3). 411–422. 13 indexed citations
5.
Wang, Jiaxu, Lin Yang, Anthony Cheng, et al.. (2024). Direct RNA sequencing coupled with adaptive sampling enriches RNAs of interest in the transcriptome. Nature Communications. 15(1). 481–481. 12 indexed citations
6.
Zhang, Yueying, et al.. (2024). Identification of RNA structures and their roles in RNA functions. Nature Reviews Molecular Cell Biology. 25(10). 784–801. 32 indexed citations
7.
Lim, Xin Ni, Francisco J. Enguita, Nuno C. Santos, et al.. (2023). Dengue Virus Capsid Protein Facilitates Genome Compaction and Packaging. International Journal of Molecular Sciences. 24(9). 8158–8158. 6 indexed citations
8.
Lim, Xin Ni, et al.. (2023). Divergent functions of histone acetyltransferases KAT2A and KAT2B in keratinocyte self-renewal and differentiation. Journal of Cell Science. 136(12). 3 indexed citations
9.
Chin, Wei-Xin, Regina Ching Hua Lee, Roland G. Huber, et al.. (2023). Flavivirus genome recoding by codon optimisation confers genetically stable in vivo attenuation in both mice and mosquitoes. PLoS Pathogens. 19(10). e1011753–e1011753. 2 indexed citations
10.
Aw, Jong Ghut Ashley, Jiaxu Wang, Yang Shen, et al.. (2021). Publisher Correction: Determination of isoform-specific RNA structure with nanopore long reads. Nature Biotechnology. 39(4). 520–520. 2 indexed citations
11.
Yang, Siwy Ling, Danielle E. Anderson, Yu Zhang, et al.. (2021). Comprehensive mapping of SARS-CoV-2 interactions in vivo reveals functional virus-host interactions. Nature Communications. 12(1). 5113–5113. 67 indexed citations
12.
Aw, Jong Ghut Ashley, Jiaxu Wang, Yang Shen, et al.. (2020). Determination of isoform-specific RNA structure with nanopore long reads. Nature Biotechnology. 39(3). 336–346. 79 indexed citations
13.
Aw, Jong Ghut Ashley, Jiaxu Wang, Yang Shen, et al.. (2020). Author Correction: Determination of isoform-specific RNA structure with nanopore long reads. Nature Biotechnology. 39(3). 387–387. 1 indexed citations
14.
Huber, Roland G., et al.. (2020). Computational modelling of flavivirus dynamics: The ins and outs. Methods. 185. 28–38. 11 indexed citations
15.
Marzinek, Jan K., Roland G. Huber, Daniel A. Holdbrook, et al.. (2018). Virtual Dengue Virus: The INS and OUTS. Biophysical Journal. 114(3). 208a–208a. 1 indexed citations
16.
Aw, Jong Ghut Ashley, Yang Shen, Niranjan Nagarajan, & Yue Wan. (2017). Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen. Journal of Visualized Experiments. 10 indexed citations
17.
Nguyen, Minh N., Adelene Y. L. Sim, Yue Wan, M. S. Madhusudhan, & Chandra Verma. (2016). Topology independent comparison of RNA 3D structures using the CLICK algorithm. Nucleic Acids Research. 45(1). e5–e5. 15 indexed citations
18.
Wan, Yue, Kun Qu, Zhengqing Ouyang, et al.. (2012). Genome-wide Measurement of RNA Folding Energies. Molecular Cell. 48(2). 169–181. 176 indexed citations
19.
Chisholm, Karen M., Yue Wan, Rui Li, et al.. (2012). Detection of Long Non-Coding RNA in Archival Tissue: Correlation with Polycomb Protein Expression in Primary and Metastatic Breast Carcinoma. PLoS ONE. 7(10). e47998–e47998. 119 indexed citations
20.
Tsai, Miao-Chih, Ohad Manor, Yue Wan, et al.. (2010). Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes. Science. 329(5992). 689–693. 2674 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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